3D RT adaptive path sensing Method: RSSI modelling validation at 4.5 GHz, 28 GHz, and 38 GHz

• Main Authors: Tan, Kim Geok, Hossain, Ferdous, Abdul Rahim, Sharul Kamal, Elijah, Olakunle, Eteng, Akaa A., Chun, Theng Loh, Lim, Li Li, Tso, C. P., Abd. Rahman, Tharek, Nour Hindia, M.
• Format: Article
• Language: English
• Published: Elsevier B.V. 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/96172/1/SharulKamal2022_3DRTAdaptivePathSensingMethod.pdf; http://eprints.utm.my/id/eprint/96172/; http://dx.doi.org/10.1016/j.aej.2022.04.033
• Institution: Universiti Teknologi Malaysia

This paper explains a new Adaptive Path Sensing Method (APSM) for indoor radio wave propagation prediction. Measurement campaigns, which cover indoor line-of-sight (LoS), non-line-of-sight (NLoS) and different room scenarios, are conducted at the new Wireless Communication Centre (WCC) block P15a) of Universiti Teknologi Malaysia (UTM), Johor, Malaysia. The proposed APSM is evaluated through a computerized modelling tool by comparing the Received Signal Strength Indicator (RSSI) with measurement data and the conventional Shooting-Bouncing Ray Tracing (SBRT) method. Simulations of the APSM and SBRT are performed with the same layout of the new WCC block P15a by using the exact building dimensions. The results demonstrate that the proposed method achieves a better agreement with measured data, compared to the conventional SBRT outputs. The reduced computational time and resources required are also important milestones to ray tracing technology. The proposed APSM method can assist engineers and researchers to reduce the time required in modelling and optimizing reliable radio propagation in an indoor environment.